Samuel Cheng

Samuel Cheng received the B.S. degree in Electrical and Electronic Engineering from the University of Hong Kong, and the M.Phil. degree in Physics and the M.S. degree in Electrical Engineering from Hong Kong University of Science and Technology and the University of Hawaii, Honolulu, respectively. He received the Ph.D. degree in Electrical Engineering from Texas A&M University in 2004. He worked in Microsoft Asia, China, and Panasonic Technologies Company, New Jersey, during the summers of 2000 and 2001. In 2004, he joined Advanced Digital Imaging Research, a research company based near Houston, Texas, as a Research Engineer and was promoted to Senior Research Engineer the next year. Since 2006, he joined the Telecommunications Program of the School of Electrical and Computer Engineering at the University of Oklahoma and is currently an assistant professor. He has been awarded five US patents in miscellaneous areas of signal processing and also coauthored a paper that received the 2006 IEEE Best Signal Processing Magazine Paper Award. He is a member of IEEE and Sigma Xi. His research interests include information theory, image/signal processing, and pattern recognition.

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Latest work with IntechOpen by Samuel Cheng

The fast user growth in wireless communications has created significant demands for new wireless services in both the licensed and unlicensed frequency spectra. Since many spectra are not fully utilized most of the time, cognitive radio, as a form of spectrum reuse, can be an effective means to significantly boost communications resources. Since its introduction in late last century, cognitive radio has attracted wide attention from academics to industry. Despite the efforts from the research community, there are still many issues of applying it in practice. This books is an attempt to cover some of the open issues across the area and introduce some insight to many of the problems. It contains thirteen chapters written by experts across the globe covering topics including spectrum sensing fundamental, cooperative sensing, spectrum management, and interaction among users.

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